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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 20 of 20 1 Wissenschaftliche Arbeiten : Sprache und Situation des Menschen im Werk Heinrich Bölls. [Gustav] Wynekens Verhältnis zur Jugendbewegung. Jantzen, Hinrich. - Norderstedt : BoD – Books on Demand, 2019 DNB Subject Category Language Show details 2 Wissenschaftliche Arbeiten : Sprache und Situation des Menschen im Werk Heinrich Bölls. [Gustav] Wynekens Verhältnis zur Jugendbewegung. Jantzen, Hinrich [Verfasser]. - Norderstedt : Books on Demand, 2019 DNB Subject Category Language Show details 3 Neural sequence-to-sequence models for low-resource morphology Kann, Katharina [Verfasser]; Schütze, Hinrich [Akademischer Betreuer]. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019 DNB Subject Category Language Show details 4 Learning Semantic Representations for Novel Words: Leveraging Both Form and Context Schick, Timo; Schütze, Hinrich. - 2019 BASE Show details 5 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy. - : Ludwig-Maximilians-Universität München, 2019 BASE Show details 6 Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking Schick, Timo; Schütze, Hinrich. - 2019 BASE Show details 7 A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction Zhao, Mengjie; Schütze, Hinrich. - : Ludwig-Maximilians-Universität München, 2019 BASE Show details 8 Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts Schütze, Hinrich; Schick, Timo. - : Ludwig-Maximilians-Universität München, 2019 BASE Show details 9 Analytical Methods for Interpretable Ultradense Word Embeddings Dufter, Philipp; Schütze, Hinrich. - : Ludwig-Maximilians-Universität München, 2019 BASE Show details 10 Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging Kemos, Apostolos; Adel, Heike; Schütze, Hinrich. - 2019 BASE Show details 11 Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging ... Kemos, Apostolos; Adel, Heike; Schütze, Hinrich. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2019 BASE Show details 12 Neural Architectures for Fine-Grained Propaganda Detection in News ... Gupta, Pankaj; Saxena, Khushbu; Yaseen, Usama. - : arXiv, 2019 BASE Show details 13 Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019 ... Yaseen, Usama; Gupta, Pankaj; Schütze, Hinrich. - : arXiv, 2019 BASE Show details 14 Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings ... Yaghoobzadeh, Yadollah; Kann, Katharina; Hazen, Timothy. - : Association for Computational Linguistics, 2019 BASE Show details 15 Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes ... Sedinkina, Marina; Breitkopf, Nikolas; Schütze, Hinrich. - : Association for Computational Linguistics, 2019 BASE Show details 16 SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference ... Schmitt, Martin; Schütze, Hinrich. - : arXiv, 2019 BASE Show details 17 A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction ... Zhao, Mengjie; Schütze, Hinrich. - : Association for Computational Linguistics, 2019 BASE Show details 18 Analytical Methods for Interpretable Ultradense Word Embeddings ... Dufter, Philipp; Schütze, Hinrich. - : Association for Computational Linguistics, 2019 Abstract: Word embeddings are useful for a wide vari- ety of tasks, but they lack interpretability. By rotating word spaces, interpretable dimensions can be identified while preserving the informa- tion contained in the embeddings without any loss. In this work, we investigate three meth- ods for making word spaces interpretable by rotation: Densifier (Rothe et al., 2016), linear SVMs and DensRay, a new method we pro- pose. In contrast to Densifier, DensRay can be computed in closed form, is hyperparameter- free and thus more robust than Densifier. We evaluate the three methods on lexicon induc- tion and set-based word analogy. In addition we provide qualitative insights as to how inter- pretable word spaces can be used for removing gender bias from embeddings. ... URL: https://dx.doi.org/10.5282/ubm/epub.72192 https://epub.ub.uni-muenchen.de/id/eprint/72192 BASE Hide details 19 Morphological Word Embeddings ... Cotterell, Ryan; Schütze, Hinrich. - : arXiv, 2019 BASE Show details 20 Dialectic Behavioural Therapy has an impact on self- concept clarity and facets of self-esteem in women with Borderline Personality Disorder Roepke, Stefan; Schröder-Abé, Michela; Schütz, Astrid. - 2019 BASE Show details

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